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AuthorZhai, Xiaojun
AuthorChen, Minsi
AuthorEsfahani, Sahar Soheilian
AuthorAmira, Abbes
AuthorBensaali, Faycal
AuthorAbinahed, Julien
AuthorDakua, Sarada
AuthorRichardson, Robin A.
AuthorCoveney, Peter V.
Available date2022-12-29T07:34:47Z
Publication Date2020
Publication NameIEEE Systems Journal
ResourceScopus
URIhttp://dx.doi.org/10.1109/JSYST.2019.2952459
URIhttp://hdl.handle.net/10576/37860
AbstractCerebral aneurysm is a cerebrovascular disorder caused by a weakness in the wall of an artery or vein, which causes a localized dilation or ballooning of the blood vessel. It is life-threatening; hence, an early and accurate diagnosis would be a great aid to medical professionals in making the correct choice of treatment. HemeLB is a massively parallel Lattice-Boltzmann simulation software, which is designed to provide the radiologist with estimates of flow rates, pressures, and shear stresses throughout the relevant vascular structures, intended to eventually permit greater precision in the choice of therapeutic intervention. However, in order to allow surgeries and doctors to view and visualize the results in real-time at medical environments, a cost-efficient, practical platform is needed. In this article, we have developed and evaluated a version of HemeLB on various heterogeneous system-on-chip platforms, allowing users to run HemeLB on a low-cost embedded platform and to visualize the simulation results in real-time. A comprehensive evaluation of implementation on the Zynq SoC and Jetson TX1 embedded graphic processing unit platforms are reported. The achieved results show that the proposed Jetson TX1 implementation outperforms the Zynq implementation by a factor of 19 in terms of site updates per second. 2007-2012 IEEE.
SponsorManuscript received February 19, 2019; revised September 20, 2019; accepted November 4, 2019. Date of publication December 2, 2019; date of current version June 3, 2020. This paper was supported by the National Priorities Research Program (NPRP) under Grant 5-792-2-328 from the Qatar National Research Fund (a member of Qatar Foundation). X. Zhai is partially supported by the UK Engineering and Physical Sciences Research Council under Grants EP/R02572X/1 and EP/P017487/1. (Corresponding author: Xiaojun Zhai.) X. Zhai is with the School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, U.K. (e-mail: xzhai@essex.ac.uk).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectCerebral aneurysm
graphical progressing units (GPU)
HemeLB
Lattice Boltzmann (LB)
visualization
Zynq
TitleHeterogeneous System-on-Chip-Based Lattice-Boltzmann Visual Simulation System
TypeArticle
Pagination1592-1601
Issue Number2
Volume Number14
dc.accessType Open Access


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